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Genetic Factors Influence the Clustering of Depression among Individuals with Lower Socioeconomic Status
OBJECTIVE: To investigate the extent to which shared genetic factors can explain the clustering of depression among individuals with lower socioeconomic status, and to examine if neuroticism or intelligence are involved in these pathways. METHODS: In total 2,383 participants (1,028 men and 1,355 wom...
Autores principales: | , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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Public Library of Science
2009
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2659437/ https://www.ncbi.nlm.nih.gov/pubmed/19333388 http://dx.doi.org/10.1371/journal.pone.0005069 |
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author | López-León, Sandra Chi Choy, Wing Aulchenko, Yurii S. Claes, Stephan J. Oostra, Ben A. Mackenbach, Johan P. van Duijn, Cornelia M. Janssens, A. Cecile J. W. |
author_facet | López-León, Sandra Chi Choy, Wing Aulchenko, Yurii S. Claes, Stephan J. Oostra, Ben A. Mackenbach, Johan P. van Duijn, Cornelia M. Janssens, A. Cecile J. W. |
author_sort | López-León, Sandra |
collection | PubMed |
description | OBJECTIVE: To investigate the extent to which shared genetic factors can explain the clustering of depression among individuals with lower socioeconomic status, and to examine if neuroticism or intelligence are involved in these pathways. METHODS: In total 2,383 participants (1,028 men and 1,355 women) of the Erasmus Rucphen Family Study were assessed with the Center for Epidemiologic Studies Depression Scale (CES-D) and the Hospital Anxiety and Depression Scale (HADS-D). Socioeconomic status was assessed as the highest level of education obtained. The role of shared genetic factors was quantified by estimating genetic correlations (ρG) between symptoms of depression and education level, with and without adjustment for premorbid intelligence and neuroticism scores. RESULTS: Higher level of education was associated with lower depression scores (partial correlation coefficient −0.09 for CES-D and −0.17 for HADS-D). Significant genetic correlations were found between education and both CES-D (ρG = −0.65) and HADS-D (ρG = −0.50). The genetic correlations remained statistically significant after adjusting for premorbid intelligence and neuroticism scores. CONCLUSIONS: Our study suggests that shared genetic factors play a role in the co-occurrence of lower socioeconomic status and symptoms of depression, which suggest that genetic factors play a role in health inequalities. Further research is needed to investigate the validity, causality and generalizability of our results. |
format | Text |
id | pubmed-2659437 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-26594372009-03-31 Genetic Factors Influence the Clustering of Depression among Individuals with Lower Socioeconomic Status López-León, Sandra Chi Choy, Wing Aulchenko, Yurii S. Claes, Stephan J. Oostra, Ben A. Mackenbach, Johan P. van Duijn, Cornelia M. Janssens, A. Cecile J. W. PLoS One Research Article OBJECTIVE: To investigate the extent to which shared genetic factors can explain the clustering of depression among individuals with lower socioeconomic status, and to examine if neuroticism or intelligence are involved in these pathways. METHODS: In total 2,383 participants (1,028 men and 1,355 women) of the Erasmus Rucphen Family Study were assessed with the Center for Epidemiologic Studies Depression Scale (CES-D) and the Hospital Anxiety and Depression Scale (HADS-D). Socioeconomic status was assessed as the highest level of education obtained. The role of shared genetic factors was quantified by estimating genetic correlations (ρG) between symptoms of depression and education level, with and without adjustment for premorbid intelligence and neuroticism scores. RESULTS: Higher level of education was associated with lower depression scores (partial correlation coefficient −0.09 for CES-D and −0.17 for HADS-D). Significant genetic correlations were found between education and both CES-D (ρG = −0.65) and HADS-D (ρG = −0.50). The genetic correlations remained statistically significant after adjusting for premorbid intelligence and neuroticism scores. CONCLUSIONS: Our study suggests that shared genetic factors play a role in the co-occurrence of lower socioeconomic status and symptoms of depression, which suggest that genetic factors play a role in health inequalities. Further research is needed to investigate the validity, causality and generalizability of our results. Public Library of Science 2009-03-31 /pmc/articles/PMC2659437/ /pubmed/19333388 http://dx.doi.org/10.1371/journal.pone.0005069 Text en López-León et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article López-León, Sandra Chi Choy, Wing Aulchenko, Yurii S. Claes, Stephan J. Oostra, Ben A. Mackenbach, Johan P. van Duijn, Cornelia M. Janssens, A. Cecile J. W. Genetic Factors Influence the Clustering of Depression among Individuals with Lower Socioeconomic Status |
title | Genetic Factors Influence the Clustering of Depression among Individuals with Lower Socioeconomic Status |
title_full | Genetic Factors Influence the Clustering of Depression among Individuals with Lower Socioeconomic Status |
title_fullStr | Genetic Factors Influence the Clustering of Depression among Individuals with Lower Socioeconomic Status |
title_full_unstemmed | Genetic Factors Influence the Clustering of Depression among Individuals with Lower Socioeconomic Status |
title_short | Genetic Factors Influence the Clustering of Depression among Individuals with Lower Socioeconomic Status |
title_sort | genetic factors influence the clustering of depression among individuals with lower socioeconomic status |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2659437/ https://www.ncbi.nlm.nih.gov/pubmed/19333388 http://dx.doi.org/10.1371/journal.pone.0005069 |
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